combine ARS & manual selection for lambda z in bear [🇷 for BE/BA]

posted by yjlee168 Homepage – Kaohsiung, Taiwan, 2019-11-20 18:12 (1168 d 13:42 ago) – Posting: # 20843
Views: 5,082

Hi Kirill,

❝ ...

❝ Is it possible to take both advantage of ARS method and manual selection for certain subjects?


Technically, it is of course possible; however, in regulatory aspect, I really don't know if it is OK to do so.

Here is how to do it technically:
  1. remove all subjects with insufficient data points (if using ARS) from your original dataset (say, 'orig.csv') first and save the reduced data as 'reduced.csv';
  2. run bear with dataset 'reduced.csv' and select ARS for lambda z estimate; if it runs OK, this step will generate '***_lambda_z_select_all.csv' (you already mentioned this previously);
  3. finally run bear with your original (or full) dataset (i.e., 'orig.csv') and choose 'manual selection' this time for lambda z estimate; now you can manually select the data points based on '***_lambda_z_select_all.csv' (ARS method) indicated for all subjects included in 'reduced.csv', and also you can manually select data points for the subjects (these subjects are excluded from 'orig.csv') without sufficient data points (manual selection). Sound kind of complicated, but it should work.

All the best,
-- Yung-jin Lee
bear v2.9.1:- created by Hsin-ya Lee & Yung-jin Lee
Kaohsiung, Taiwan https://www.pkpd168.com/bear
Download link (updated) -> here

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